Two-person zero-sum game approach for fuzzy multiple attribute decision making problems

An approach to Atanassov's interval-valued intuitionistic fuzzy multi-attribute decision making based on prospect theory

“…Consider a multi-attribute decision making problem, without loss of generality, suppose there are m alternatives A={a 1 , a 2 …”

“…Hence, fuzzy decision making has become a hot research point and has achieved many important results [1][2][3][4][5][6][7]. Atanassov's interval-valued intuitionistic fuzzy sets (IVIFSs) [8], as an important extending form of Zadeh's fuzzy sets, have received considerable attentions, which are characterized by an interval membership function and an interval non-membership function.…”

Solving Multi-Objective Matrix Games with Fuzzy Payoffs through the Lower Limit of the Possibility Degree

“…The major contributions in this aspect have been studied in [18,[29][30][31][32]. Sakawa et al [32] discussed the fuzzy multicriteria games model with fuzzy goals according to the theory of maxmin value.…”

“…In order to solve multiple decision-making problems, a model of fuzzy multiple matrix games is presented by Peldschus et al [18]. Subsequently, Chen [30] found that the equilibrium solution of multiple matrix games based on fuzzy payoffs is equivalent to the solution of the fuzzy multi-objective attribute decision-making problem. Inspired by [3,4], Aggarwal et al [29] applied the notions of POSS and security levels of apiece players to research the multicriteria matrix game in terms of fuzzy goals and demonstrated that this game problem and fuzzy multiple objective linear optimization problems are of equal value.…”

A Fuzzy Topsis Multiple-Attribute Decision Making for Scholarship Selection

“…Several approaches that have been developed are calculating the weights of MADM problems, such as the eigenvector method and ELECTRE. The paper described the formulation of weighting in MADM case with fuzzy decision matrix was generated by two people [4]. Fuzzy multi attribute decision making (FMADM) has been used to select future lecturer at Department of Computer Science, Faculty of Industrial Technology, Islamic University of Indonesia (UII) using genetic algorithm to find the value of attribute weights.…”